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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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'25

Papers (including subtopics)

Diffusion-Based Generative Regularization for Supervised Discriminative Learning WACV 2025 Diffusion-Based Particle-DETR for BEV Perception WACV 2025 Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025 Diffusion Counterfactual Generation with Semantic Abduction ICML 2025 Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images ICLR 2025 Diffusion-Guided Multi-Arm Motion Planning CoRL 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025 Diffusion Models as Cartoonists: The Curious Case of High Density Regions ICLR 2025 Diffusion Models for Attribution AAAI 2025 Diffusion On Syntax Trees For Program Synthesis ICLR 2025 Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion AAAI 2025 DIH-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation ICCV 2025 Dimension Agnostic Neural Processes ICLR 2025 Dimension Reduction for Symbolic Regression AAAI 2025 Dimension Reduction with Locally Adjusted Graphs AAAI 2025 DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation ICCV 2025 DiNaM: Disinformation Narrative Mining with Large Language Models EMNLP 2025 DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels CVPR 2025 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection CVPR 2025 DINT Transformer EMNLP 2025 Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks EMNLP 2025 DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025 Directed Graph Grammars for Sequence-based Learning ICML 2025 Direct Prediction Set Minimization via Bilevel Conformal Classifier Training ICML 2025 Direct Prompt Optimization with Continuous Representations ACL 2025